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E-Learning Application Requirements. Kevin Keenoy , Birkbeck, Part I Don Peterson , Institute of Education, Part II. Part I: Learning Objects and Metadata Standards. What is a Learning Object?.
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E-Learning Application Requirements Kevin Keenoy, Birkbeck, Part I Don Peterson, Institute of Education, Part II
Part I:Learning Objects and Metadata Standards SeLeNe Startup Meeting, Crete, November 2002
What is a Learning Object? • The most general definition is very broad - “anything that can be referenced during technology supported learning” • This includes everything that has ever existed in the history of the world! • An important subset for SeLeNe is re-usable components of courses. SeLeNe Startup Meeting, Crete, November 2002
Working Definition of Learning Objects • May be useful to define a more specific usage of the term for within SeLeNe:Electronic, sharable ‘chunks’ of re-usable learning content, available on the Web. • These are the kind of thing that the metadata we plan to deal with will generally describe. SeLeNe Startup Meeting, Crete, November 2002
Existing Metadata Standards • The Dublin Core (more general) • Metadata standards for a wide range of domains. • Good basis of ‘core’ elements applicable to any internet-based object. • IEEE LOM (more educational) • Builds on Dublin Core • Basis of many other Learning Object Metadata specifications. • Basis of SeLeNe metadata? SeLeNe Startup Meeting, Crete, November 2002
User Profiles • Some existing standards for user profiles: • vCard (electronic business card information) • IEEE PAPI (Personal And Private Information) • IMS LIP (Learner Information Package) • Universal Learning Format SeLeNe Startup Meeting, Crete, November 2002
Some Current Metadata Activities • ARIADNE & IMS • These recommendations formed the basis of IEEE LOM specifications. • Now promote their own metadata specifications, based on LOM. • CEN/ISSS LT • European Committee for Standardisation • Interested in multi-lingual IEEE LOM, and setting up an e-Learning Technology Standards Observatory. SeLeNe Startup Meeting, Crete, November 2002
E-Learning: User Expectations and Requirements • Very little requirements analysis for e-learning systems is available. • Advice tends to be anecdotal and focused on web-design principles (ergonomics) • We need: • personalised search over LO’s • theoretical models which bridge learning theory (pedagogy) to this requirement. SeLeNe Startup Meeting, Crete, November 2002
Part II:Learning Theoryand Application Requirements SeLeNe Startup Meeting, Crete, November 2002
Theories of Learning • Anamnesis (Plato) • Behaviourism (Skinner) • Cognitivism (Piaget) • Constructivism (Pappert) • Assisted (Vygotsky) • Experiential (Kolb) • Trail based (Bush) • Ampliative (Levene & Peterson) SeLeNe Startup Meeting, Crete, November 2002
Assisted Learning I(Vygotsky) • Learner + assistant (parent, teacher etc) => performance • The assistant is a guide to action (not a source of knowledge) • Gradually the learner internalises the contribution of the assistant • This is the ‘zone of proximal development’ SeLeNe Startup Meeting, Crete, November 2002
Assisted Learning II learner performance assistant SeLeNe Startup Meeting, Crete, November 2002
Assisted Learning III Requirements on the assistant: • Adaptive • Personalised • Informed by a trusted community • Monitored by a trusted community SeLeNe Startup Meeting, Crete, November 2002
Ampliative Learning I(Levene and Peterson 2002) • We learn not isolated facts but trails of learning objects (cf Bush) • E.g. in museums, libraries, or any space of learning objects • A trail has 2 aspects: • a navigation history • a cognitive structure (cf schemas in Piaget, Bartlett) SeLeNe Startup Meeting, Crete, November 2002
Ampliative Learning II • In phase 1, we acquire a trail • In phase 2, we expand, refine and personalise it (ampliative learning) • In phase 3, we return again to the original experiences (cf Kolb) SeLeNe Startup Meeting, Crete, November 2002
Ampliative Learning III Requirements on support: • Representation of trails • Storage, retrieval, editing of trails • Assistance in expanding and refining trails SeLeNe Startup Meeting, Crete, November 2002
Synthesis These frameworks combine to identify a particular need --- assisted ampliative learning. learner performance = trail refinement assistant SeLeNe Startup Meeting, Crete, November 2002
System Requirements adaptive, personalised, community-based support for expansion and refinement of trails of learning objects user needs + profile + metadata => filtered search through LO’s => support for assisted ampliative learning. SeLeNe Startup Meeting, Crete, November 2002
Design Contexts • Cognitive load --- support in an Age of Complexity (Reeves, Barnett) • EU Integration --- use of LO’s across national, curriculum and other boundaries • Re-enchantment --- the arts (meaning, understanding, interpretation), and perspectival technologies (cf Snow). End. SeLeNe Startup Meeting, Crete, November 2002